With the development of deep learning, time-series-related tasks have been increasingly applied across various fields. However, time-series data used in the medical and semiconductor industries are often different from those in daily life, with high sampling frequencies and very long sequence lengths, and collecting such data is usually very challenging. Therefore, data augmentation is a…